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178 articles for “traffic”
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Traffic Safety Under Mixed Traffic Flow: An Approach Towards Mix Modal Transport Planning
Abstract: Mixed Traffic flow is an important component in consideration in present day Transport Planning in the current scenario and future of transport planning in India. As country is welcoming the accent of Advanced technology, an introduction of Autonomous vehicles, a need of study raised for the safe flow of traffic into the mixed condition. This paper aims to study the traffic condition of current times comparing with the previous traffic …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 8, Issue 1, 2022 · pp. 1–13 Read article
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TRAFFIC CONTROL SYSTEM: CASE STUDY OF BALEWADI HIGH STREET SIGNAL
Abstract: Abstract— The increasing demand for efficient traffic management in urban areas is crucial for enhancing safety, reducing congestion, and improving overall mobility. This study focuses on the design and implementation of an intelligent traffic control system at two critical intersections in Pune: Balewadi High Street Bridge and Lt. Baburao Habaji Saykar Chowk. The study identifies key traffic flow issues, including congestion, delay, and poor intersection geometry, and proposes the use …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
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Hydraulic Traffic Reduction Mechanism
Abstract: AbstractUrbanization and the surge in vehicle ownership have led to escalating traffic congestion, particularlyin densely populated metropolitan regions. Conventional traffic management systems, which depend onfixed lane structures and pre-set signal timings, often struggle to accommodate the increasing andunpredictable nature of traffic flow. This challenge necessitates the development of adaptive andintelligent traffic management solutions that can dynamically adjust to real-time conditions. A novelapproach to mitigating traffic congestion is the Hydraulic Traffic …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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A Study to Assess the Knowledge Regarding Road Traffic Rules Among Adolescents in Selected College at Bengaluru
Abstract: Introduction: Road Traffic Accidents (RTAs) are a significant public health concern, especially among adolescents, who are at higher risk due to lack of awareness and non-compliance with traffic rules. Proper knowledge of road traffic regulations is crucial in reducing accident rates and ensuring road safety. As the proverb goes, “Precaution is better than cure,” understanding and following road traffic rules can prevent accidents and save lives. This study aims to …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 29–47 Read article
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Modeling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Influence of Road Geometry and Traffic Characteristics on Highway Crash Frequencies under Heterogenous Traffic Conditions
Abstract: Abstract This study aims at modeling the influence of highway geometric and traffic characteristics on road crash frequency under heterogenous traffic conditions using the Negative Binomial regression technique. Over a span of three years, data from 618 road accidents on the Dhaka–Aricha highway (N5) in Bangladesh were analyzed to develop the model.. The model variables include Annual Average Daily Traffic (AADT), % of heavy vehicle and non-motorised vehicles (NMV), pavement …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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AI-Powered Traffic Management: Enhancing Urban Mobility and Efficiency
Abstract: AbstractUrban traffic congestion is a persistent challenge, resulting in economic setbacks, extended traveldurations, excessive fuel consumption, and environmental harm. The rapid urbanization and increasingnumber of vehicles have intensified this issue, highlighting the need for smarter and more efficienttraffic management solutions. With advancements in artificial intelligence (AI), innovative trafficcontrol strategies can be implemented to optimize urban mobility and alleviate congestion. This paperexplores AI-driven traffic management solutions, focusing on machine learning-based adaptive …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 32–36 Read article
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STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT
Abstract: Abstract - Pune, one of India’s fastest-growing metropolitan cities, faces severe traffic congestion due to rapid urbanization, increasing vehicular density, and inadequate transport infrastructure. This research paper explores the challenges associated with traffic management in Pune and evaluates existing solutions implemented by local authorities. Through case studies of critical traffic zones such as Katraj, Nal Stop, Warje, and Hadapsar Road, we identify key congestion factors, including poor road design, improper …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 19–24 Read article
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NEXT-GENERATION TRAFFIC OPTIMIZATION SYSTEM
Abstract: Abstract- Traffic lights at intersections automatically adjust based on the flow of traffic. Reinforcement learning enables continuous learning and optimization for more effective traffic control. Traffic lights are dynamically adjusted thanks to sensors that collect real-time data on the number of cars. By predicting the condition of the roads, predictive analytics helps avoid traffic jams. reduces stop-and-go traffic, which in turn reduces fuel consumption and pollution. A scalable system designed …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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Modelling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Transportation Engineering and Traffic System Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Optimization of Traffic Signal Timing for Urban Mobility: A Case Study
Abstract: AbstractUrban traffic congestion is one of the most pressing challenges in modern cities, leading tosubstantial economic losses, environmental degradation, and reduced quality of life. Traditionalfixed-time traffic signal systems are often inadequate in addressing fluctuating traffic demands,contributing significantly to this congestion. This paper explores the optimization of traffic signaltiming using a genetic algorithm (GA) integrated with real-time traffic data to improve urbanmobility. A case study was conducted at three highly congested …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 20–25 Read article
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Evaluating the Impact of Intelligent Traffic Management Systems on Urban Congestion and Emission Levels
Abstract: AbstractUrban congestion and vehicle emissions represent critical challenges in densely populated citiesworldwide, posing risks to both travel efficiency and environmental health. As urbanizationintensifies, traditional traffic management approaches often fall short of alleviating congestion,resulting in longer commute times, increased fuel consumption, and higher pollutant emissions. Thisstudy evaluates the effectiveness of Intelligent Traffic Management Systems (ITMS), an advancedapproach leveraging adaptive traffic control technologies, in reducing both congestion and emissions.Through a combination of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 15–19 Read article
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Analysis of Existing Traffic Condition of Pabna City, Bangladesh: A Case Study
Abstract: This study investigated traffic condition of Pabna city main road Bangla clinic to Nimtola. The road connects the city center with bus terminal and railway station. For this, the study route was segmented and four stations were assumed. Traffic counting was conducted at each station as per RHD guideline. The type and classification of the existing vehicles was also done as per the guideline. Traffic data collection was conducted for …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 8, Issue 1, 2022 · pp. 18–32 Read article
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DESIGN OF TRAFFIC SIGNAL CONTROL SYSTEM AT ORLU JUNCTION, IHIALA, ANAMBRA STATE, NIGERIA
Abstract: The vast increase in population results in number of vehicular movement which contributes to volume of traffic at road intersections. This traffic jam is much during festive periods, causing delay which has negative impact to the economy. No one can easily predict the time of journey arrival due to gridlock at intersection on highways. This inefficient traffic movement is caused by absence of traffic control systems. Hence, this study had …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 8, Issue 2, 2022 · pp. 38–49 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Abstract: Traffic jam and safety at the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It is capable of identifying and differentiating the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article